Generative AI vs. Traditional AI
Generative AI vs. Traditional AI
Updated: May 16, 2025
Duration: 1h 17m 11s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 123 MB
Genre: eLearning | Language: English
Updated: May 16, 2025
Duration: 1h 17m 11s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 123 MB
Genre: eLearning | Language: English
Generative AI is a hot topic that's filled with a host of new legal, ethical, and technology issues. Generative AI's development may seem sudden, but it’s still built upon decades of concepts and practices from traditional predictive AI. In this course Doug Rose looks at the differences between traditional and generative AI. Traditional concepts like supervised and unsupervised deep learning networks have inspired newer generative AI concepts like self-supervised learning, foundation models, diffusion models, and generative adversarial networks. To understand where a technology is heading, it's important to know its story. These generative AI tools are a big leap, but they’re still just another chapter in the exciting story of artificial intelligence.
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